Instructions to use Ayham/bert_gpt2_summarization_cnndm_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/bert_gpt2_summarization_cnndm_new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/bert_gpt2_summarization_cnndm_new") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bert_gpt2_summarization_cnndm_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ayham/bert_gpt2_summarization_cnndm_new: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Ayham/bert_gpt2_summarization_cnndm_new/resolve/main/training_args.bin
- Command line
-
hf download hf://Ayham/bert_gpt2_summarization_cnndm_new/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ayham/bert_gpt2_summarization_cnndm_new/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- b95d02692ba8249211a7f633caafabe0ccfbca637c1aa394e43f5373844bb816
- Size of remote file:
- 2.99 kB
- SHA256:
- de72ea340f5295db53daa80465f46bcda6d39048714224c248ae7a88a5183c00
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